What is tokenmax-fleet-orchestrator?

A controller for running multiple TokenMax SEO and GEO websites as a resumable queue, with checks for quality, deployment, production, and indexing.

Use it to audit a site queue, process sites one at a time, manage retries and deployment stages, install scheduling, and report production or indexing status.

How TheSmokeDev/taskchad-os configures Claude Code and Codex

Q: Why use it?

It keeps site work isolated and records what actually passed, shipped, and reached production, including after an interrupted run.

Reuse

Borrowing it

Nothing to install: this file belongs to TheSmokeDev/taskchad-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/TheSmokeDev/taskchad-os/master/.claude/skills/tokenmax-fleet-orchestrator/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/TheSmokeDev/taskchad-os

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/tokenmax-fleet-orchestrator/github.svg)](https://agentmods.dev/skills/thesmokedev/taskchad-os/tokenmax-fleet-orchestrator)

Your own site

<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/tokenmax-fleet-orchestrator"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/tokenmax-fleet-orchestrator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/tokenmax-fleet-orchestrator"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/tokenmax-fleet-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,356 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00079	$0.01356
Opus 5	$0.00039	$0.00678
Sonnet 5	$0.00016	$0.00271
Haiku 4.5	$0.00008	$0.00136

Measured 6d ago against content hash 951d50a5d7d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

tokenmax-fleet-orchestrator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/fleet_controller.py, scripts/test_fleet_controller.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/tokenmax-fleet-orchestrator/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TokenMax Fleet Orchestrator

Use this skill above tokenmax-site-factory. The site factory discovers and validates one site, a versioned repository driver generates its pages, and this skill sequences sites while recording what actually passed, shipped, and reached production.

Stack Position

Use evidence and a versioned fleet intent map before enabling related domains. This controller owns queueing, retries, deployment stages, production proof, and indexing queues; it delegates site discovery and rendered page gates to tokenmax-site-factory. After a site is production-ready, ai-citation-authority-wave may run separately and must stop at its own deploy handoff.

Do not make the authority workflow a mass-generation stage or infer production from local build state. When present, read docs/manual/features/tokenmax-seo-authority-stack.md for the complete stack order and handoff contracts.

Start

Read the target repo's deploy manual and its existing TokenMax/fleet files.
Inspect active processes, worktrees, schedules, disk, and available memory.
Read references/stage-contract.md and validate the fleet YAML against references/fleet-config.schema.json.
Run a dry plan before any mutation:

python .claude/skills/tokenmax-fleet-orchestrator/scripts/fleet_controller.py --config /path/to/fleet.yaml validate-config
python .claude/skills/tokenmax-fleet-orchestrator/scripts/fleet_controller.py --config /path/to/fleet.yaml init
python .claude/skills/tokenmax-fleet-orchestrator/scripts/fleet_controller.py --config /path/to/fleet.yaml run-next --dry-run

Forward-test one unproven site through production before installing a recurring timer.

Controller

The controller is generic. Fleet-specific behavior belongs in YAML stage commands and a versioned repo driver. Commands receive site/stage context via environment variables and write an optional JSON stage result.

python .claude/skills/tokenmax-fleet-orchestrator/scripts/fleet_controller.py --config /path/to/fleet.yaml status
python .claude/skills/tokenmax-fleet-orchestrator/scripts/fleet_controller.py --config /path/to/fleet.yaml run-next --max-sites 1
python .claude/skills/tokenmax-fleet-orchestrator/scripts/fleet_controller.py --config /path/to/fleet.yaml resume --site <id>
python .claude/skills/tokenmax-fleet-orchestrator/scripts/fleet_controller.py --config /path/to/fleet.yaml retry --site <id>
python .claude/skills/tokenmax-fleet-orchestrator/scripts/fleet_controller.py --config /path/to/fleet.yaml pause
python .claude/skills/tokenmax-fleet-orchestrator/scripts/fleet_controller.py --config /path/to/fleet.yaml index-queue

Read the full file on GitHub · 130 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

6d ago First seen · 130 lines · 79 tokens per session scan A 951d50a5d7d7

Subscribe to this mod's changes

tokenmax-fleet-orchestrator is a skill published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed 3d ago), licensed MIT. It adds 79 tokens to every session and 1,356 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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taskchad-os: Skill for Claude Code